This lesson is still being designed and assembled (Pre-Alpha version)

Machine Learning: Introduction

Prerequisites

You should know everything about docker and git. Also some C++ and python.

Introduction

This is very much based on mlbnn, which also works through the process of integrating this into ATLAS workflows.

Not sure I’ll have time to get to that though…

Schedule

Setup Make sure gitlab.cern.ch works for you, now!
00:00 1. Dump an H5 File How do I get data to Keras
00:20 2. M'learn some higgs regression How do I train NNs
00:40 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.